We are pleased to announce Amazon Elasticsearch Service now allows you to encrypt your data using keys that you manage through AWS Key Management Service (KMS). Elasticsearch is a popular open source search and analytics engine for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service delivers Elasticsearch’s easy-to-use APIs and real-time capabilities along with the availability, scalability, and security required by production workloads.

We are happy to announce the immediate availability of Elasticsearch 6.0 and Kibana 6.0 on Amazon Elasticsearch Service. Elasticsearch is a popular open source analytics and search engine for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service delivers Elasticsearch’s easy-to-use APIs and real-time capabilities along with the availability, scalability, and security required by production workloads.

You can now easily set up access to Amazon Elasticsearch Service from your VPC without having to configure and maintain firewall rules and IP-based access policies for each domain. This new feature lets you keep all traffic between your Amazon VPC and Amazon Elasticsearch Service within the AWS network instead of traversing the public Internet. VPC support for Amazon Elasticsearch Service enhances security, simplifies network administration and is available today at no additional cost.

Amazon Elasticsearch Service now lets you enable slow logs, which provide valuable information for optimizing and troubleshooting your search and indexing operations. The slow logs are published to the Amazon CloudWatch Logs service and can be turned on or off at will. You only need to pay for the CloudWatch charges that you incur based on your usage. No additional Amazon Elasticsearch Service fees apply.

Your analytics and search applications can now benefit from support for Elasticsearch 5.5 and Kibana 5.5 in Amazon Elasticsearch Service. Elasticsearch is a popular search and analytics engine for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service delivers Elasticsearch’s easy-to-use APIs and real-time capabilities along with the availability, scalability, and security required by production workloads.

Your analytics and search applications can now benefit from support for Elasticsearch 5.3 and Kibana 5.3 in Amazon Elasticsearch Service. Elasticsearch is a popular search and analytics engine for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service delivers Elasticsearch’s easy-to-use APIs and real-time capabilities along with the availability, scalability, and security required by production workloads.

Amazon Elasticsearch Service now provides built-in support for search templates using Mustache on all Elasticsearch 5 domains. Mustache is an open-source logic-less templating engine. You can now use Mustache to build search templates, which make it easy to dynamically generate your Elasticsearch queries. Search templates can help reduce errors and save time when constructing queries. Mustache is now enabled by default on all Amazon Elasticsearch Service 5.1 domains.

Amazon Elasticsearch Service has increased the maximum number of instances supported in a single domain to 100, which increases the maximum storage capacity per domain to 150 TB on select instance types. This allows you to store and analyze up to five times more data for large analytic workloads and to horizontally scale search applications to meet the most demanding performance needs. To request an increase beyond the default per domain limit of 20 instances, simply submit a service limit increase request.

We are excited to announce availability of Amazon Elasticsearch Service in the Europe (London) and Canada (Central) regions. With the addition of these two regions, Amazon Elasticsearch Service is now available in 14 regions globally: US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Canada (Central), South America (Sao Paulo), EU (Ireland), EU (London), EU (Frankfurt), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and Asia Pacific (Mumbai) Regions.

Amazon Elasticsearch Service now supports M4, C4, and R4 instance types. M4 and R4 instances provide improved compute performance at lower prices than the previous generation of M3 and R3 instances. With the C4 instance type, you can benefit from better cost effectiveness for workloads that have high indexing requirements. Additionally, on the newly supported instances, Amazon Elasticsearch Service offers increased EBS volume size up to 1.5 TB per node. The increased volume size allows you to store up to 30 TB in a single Amazon Elasticsearch Service domain using EBS-backed data nodes, which is triple the previous limit. For Provisioned IOPS SSD volumes, we have also increased the maximum to 16,000 IOPS to support the most demanding workloads. This release also offers operational enhancements that reduce the time required for performing cluster updates and snapshots, typically by more than 50%.

For customers in the AWS Free Tier, Amazon Elasticsearch Service now offers a choice of instance types between t2.micro.elasticsearch and t2.small.elasticsearch instances. With this release, the service provides customers in the AWS Free Tier, free usage of up to 750 hours per month of a single-AZ t2.micro.elasticsearch or t2.small.elasticsearch instance and 10GB per month of optional EBS storage (Magnetic or General Purpose). If you exceed the free tier limits, you will be charged the Amazon Elasticsearch Service rates for the additional resources you use. See offer terms for more details.

Your analytics and search applications can now benefit from Amazon Elasticsearch Service’s support for Elasticsearch 5 and Kibana 5. Elasticsearch is a popular search and analytics engine for log analytics, full text search, application monitoring, and more. Amazon Elasticsearch Service delivers Elasticsearch’s easy-to-use APIs and real-time capabilities along with the availability, scalability, and security required by production workloads.

Amazon Elasticsearch Service now provides built-in integration with the Phonetic Analysis plugin, which allows you to run “sounds-like” queries on your data. With this plugin, you can easily account for misspellings and common phonetic variants of search terms, and return more comprehensive query results. The Phonetic Analysis plugin is pre-installed and ready to use on all Amazon Elasticsearch Service domains running Elasticsearch version 2.3. To use this feature, simply update your Elasticsearch field mappings using the Elasticsearch API to indicate which fields you would like to include for phonetic analysis and the type of analyzer to use. You can then run your queries as you normally do, and Amazon Elasticsearch Service will return results including those that match similar sounding terms, without the need for you to write any custom code.

You can now configure Amazon Kinesis Firehose to prepare your streaming data before it is loaded to data stores. With this new feature, you can easily convert raw streaming data from your data sources into formats required by your destination data stores, without having to build your own data processing pipelines.

AWS is excited to announce immediate availability of the new US East (Ohio) Region. Ohio joins Northern Virginia, Oregon, Northern California, and AWS GovCloud as the fifth AWS Region in North America and as the fourteenth worldwide, bringing the total number of AWS Availability Zones to 38 globally.

Amazon Elasticsearch Service now supports Elasticsearch version 2.3. Amazon Elasticsearch Service makes it easy to run Elasticsearch, which is a popular tool for real-time analytics use cases such as log analytics and application monitoring. Elasticsearch 2.3 offers many new features, including support for pipeline aggregations, improved geo-point fields, and support for data compression. Elasticsearch version 2.3 also offers many benefits over version 1.5, including improved performance, memory management and resiliency, and security enhancements. Starting today, customers can choose between Elasticsearch version 1.5 or 2.3 when creating an Amazon Elasticsearch Service domain.

AWS is pleased to announce immediate availability of the new Asia Pacific (Mumbai) Region. Mumbai joins Beijing, Seoul, Singapore, Sydney, and Tokyo as the sixth AWS Region in Asia and as the thirteenth worldwide, bringing the total number of AWS Availability Zones to 35 worldwide.

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch on AWS. You can now add up to 20 data nodes and 5 dedicated master nodes to your Amazon Elasticsearch domains. The previous limit was a total instance count of 10 including both data nodes and dedicated master nodes. This effectively increases the maximum amount of data you can store in an Amazon Elasticsearch domain from 12 TB to 24 TB with i2.2xl instances and from 4 TB to 8 TB for EBS-backed domains. For more information, see Creating and Configuring Amazon ES Domains and Amazon Elasticsearch Service Limits in the Amazon Elasticsearch Service Developer Guide.

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch in the AWS Cloud. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics.